Ventura-Silva João, Martins Maria Manuela, Trindade Letícia de Lima, Faria Ana da Conceição Alves, Pereira Soraia, Zuge Samuel Spiegelberg, Ribeiro Olga Maria Pimenta Lopes
Abel Salazar Institute of Biomedical Sciences, 4050-313 Porto, Portugal.
Northern Health School of the Portuguese Red Cross, 3720-126 Oliveira de Azeméis, Portugal.
Nurs Rep. 2024 Oct 2;14(4):2733-2745. doi: 10.3390/nursrep14040202.
The integration of artificial intelligence (AI) in the organization of nursing care has continually evolved, driven by the need for innovative solutions to ensure quality of care. The aim is to synthesize the evidence on the use of artificial intelligence in the organization of nursing care.
A scoping review was carried out based on the Joanna Briggs Institute methodology, following the PRISMA-ScR guidelines, in the MEDLINE, CINAHL Complete, Business Source Ultimate and Scopus databases. We used ProQuest-Dissertations and Theses to search gray literature.
Ten studies were evaluated, identifying AI-mediated tools used in the organization of nursing care, and synthesized into three tool models, namely monitoring and prediction, decision support, and interaction and communication technologies. The contributions of using these tools in the organization of nursing care include improvements in operational efficiency, decision support and diagnostic accuracy, advanced interaction and efficient communication, logistical support, workload relief, and ongoing professional development.
AI tools such as automated alert systems, predictive algorithms, and decision support transform nursing by increasing efficiency, accuracy, and patient-centered care, improving communication, reducing errors, and enabling earlier interventions with safer and more efficient quality care.
在对创新解决方案的需求推动下，人工智能（AI）在护理组织中的整合不断发展，以确保护理质量。目的是综合关于人工智能在护理组织中应用的证据。
根据乔安娜·布里格斯研究所的方法，遵循PRISMA-ScR指南，在MEDLINE、CINAHL Complete、Business Source Ultimate和Scopus数据库中进行了范围综述。我们使用ProQuest-学位论文和博硕士论文数据库搜索灰色文献。
评估了10项研究，确定了护理组织中使用的人工智能介导工具，并综合为三种工具模型，即监测与预测、决策支持以及交互与通信技术。在护理组织中使用这些工具的贡献包括提高运营效率、决策支持和诊断准确性、先进的交互和高效的沟通、后勤支持、减轻工作量以及持续的专业发展。
诸如自动警报系统、预测算法和决策支持等人工智能工具通过提高效率、准确性和以患者为中心的护理，改善沟通、减少错误，并实现更安全、更高效的优质护理的早期干预，从而改变护理工作。
